Introduction to Covid 19 Excess

Sentence Examples

Discover more insights into Covid 19 Excess

Keywords frequently search together with Covid 19 Excess

Narrow sentence examples with built-in keyword filters

Covid 19 Excess sentence examples within generalised additive mixed

generalised additive mixed

Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials.

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, Somalia.

generalised additive mixed

Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials.

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, Somalia

More generalised additive mixed sentences More Sentences

More Covid 19 Excess sentence examples
10.1158/1055-9965.EPI-21-0230

A comparable number of excess deaths was estimated if the COVID-19 excess mortality rates from the general Belgian population were applied to the cancer cohort, stratified by age and sex.

Excess Mortality in a Nationwide Cohort of Cancer Patients during the Initial Phase of the COVID-19 Pandemic in Belgium

More Covid 19 Excess sentence examples
10.1016/j.ijid.2021.09.049

Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials.

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, Somalia.

More Covid 19 Excess sentence examples
10.1101/2021.05.15.21256976

Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials.

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Mogadishu, Somalia

More Covid 19 Excess sentence examples
10.1136/bmjgh-2020-004564

After imputing missing grave counts using surface area data, we used alternative approaches, including simple interpolation and a generalised additive mixed growth model, to predict both actual and counterfactual (no epidemic) burial rates by cemetery and across the governorate during the most likely period of COVID-19 excess mortality (from 1 April 2020) and thereby compute excess burials.

Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen

More Covid 19 Excess sentence examples
10.1101/2021.03.11.21253402

Finally, we assessed the influence of MUPD and DISLI on discrepancies of COVID-19 and non-COVID-19 excess mortality compared with death certificates from the General Civil Registry.

Comprehensive evaluation of the impact of sociodemographic inequalities on adverse outcomes and excess mortality during the COVID-19 pandemic in Mexico City

More Covid 19 Excess sentence examples
10.1093/ndt/gfab098.0055

Conclusion Tailoring effective and timely preventive measures along with tireless education of patients can control all-cause-mortality and possibly COVID-19 excess mortality rates in dialysis centers.

MO863COMPARISON OF ALL-CAUSE-MORTALITY BEFORE AND AFTER COVID-19 PANDEMIC IN A HEMODIALYSIS CENTER: A SUCCESSFUL PREVENTIVE PROTOCOL

More Covid 19 Excess sentence examples
10.1073/pnas.2101386118

There is, however, less discussion of the inordinate burden that non–COVID-19 excess mortality (i.

Excess mortality from COVID and non-COVID causes in minority populations

More Covid 19 Excess sentence examples
10.11606/s1518-8787.2021055004137

ABSTRACT OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil.

Excess deaths from all causes and by COVID-19 in Brazil in 2020

More Covid 19 Excess sentence examples
10.1093/cid/ciab577

Finally, we assessed discrepancies in COVID-19 and non-COVID-19 excess mortality using death certificates from the General Civil Registry.

Comprehensive evaluation of the impact of sociodemographic inequalities on adverse outcomes and excess mortality during the COVID-19 pandemic in Mexico City.

More Covid 19 Excess sentence examples
10.1101/2021.08.13.21261939

Objective: To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil.

EXCESS DEATHS FROM ALL CAUSES AND BY COVID-19 IN BRAZIL IN 2020

More Covid 19 Excess sentence examples
10.1017/S1049023X20001521

Correlations between the 51 state and territorial NHSPI values and corresponding COVID-19 excess mortality rates were calculated using Pearson’s correlation coefficient.

Validity of the National Health Security Preparedness Index as a Predictor of Excess COVID-19 Mortality

Learn more from Covid 19 Excess

Keywords related to Covid

Keywords related to Excess

Covid 19 Excess
Encyclopedia

What is/are Covid 19 Excess?

Covid 19 Excess - A comparable number of excess deaths was estimated if the COVID-19 excess mortality rates from the general Belgian population were applied to the cancer cohort, stratified by age and sex. [1] Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials. [2] Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials. [3] After imputing missing grave counts using surface area data, we used alternative approaches, including simple interpolation and a generalised additive mixed growth model, to predict both actual and counterfactual (no epidemic) burial rates by cemetery and across the governorate during the most likely period of COVID-19 excess mortality (from 1 April 2020) and thereby compute excess burials. [4] Finally, we assessed the influence of MUPD and DISLI on discrepancies of COVID-19 and non-COVID-19 excess mortality compared with death certificates from the General Civil Registry. [5] Conclusion Tailoring effective and timely preventive measures along with tireless education of patients can control all-cause-mortality and possibly COVID-19 excess mortality rates in dialysis centers. [6] There is, however, less discussion of the inordinate burden that non–COVID-19 excess mortality (i. [7] ABSTRACT OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. [8] Finally, we assessed discrepancies in COVID-19 and non-COVID-19 excess mortality using death certificates from the General Civil Registry. [9] Objective: To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. [10] Correlations between the 51 state and territorial NHSPI values and corresponding COVID-19 excess mortality rates were calculated using Pearson’s correlation coefficient. [11]

generalised additive mixed

Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials. [1] Simple interpolation and a generalised additive mixed growth model were used to predict both actual and counterfactual burial rates by cemetery and across Mogadishu during the most likely period of COVID-19 excess mortality and to compute excess burials. [2] After imputing missing grave counts using surface area data, we used alternative approaches, including simple interpolation and a generalised additive mixed growth model, to predict both actual and counterfactual (no epidemic) burial rates by cemetery and across the governorate during the most likely period of COVID-19 excess mortality (from 1 April 2020) and thereby compute excess burials. [3]